Search results

Explains that Taiwan’s retailing is predominantly a mix of traditional markets and department stores, an abundance of convenience stores, a group of supermarket and hypermarket chains, many direct marketing companies and a dynamic fast‐food industry. Outlines the history of Taiwan’s development as a democratic society in order to provide a framework for describing the modernization process. From the 1600s through the period of Japanese colonization ending in 1944, Taiwan was an agrarian society. Beginning less than 50 years ago, rapid industrialization brought greater wealth to the 21 million people who inhabit the island and the recent transition to a more democratic society has resulted in consumer awareness and greater interest in life quality. Suggests that the new retail formats have done a lot to satisfy consumer demands for professional service, product value and variety, and a safe, clean environment. However, single‐site retail formats that require long‐term and large‐scale investments, such as malls, shopping centres and retail streets, are very slow to develop. Better civic co‐ordination, greater openness to international retail planners and financial institutions, as well as increased confidence about the future, are key to the next stage of retail development. Provides details of current retail statistics (in US dollars). Describes Taiwan’s retail history and discusses future retail opportunities.

The Communist revolution in China has led to the appearance in this country of increasing numbers of Chinese books in Russian translation. The Chinese names in Cyrillic transcription have presented many librarians and students with a new problem, that of identifying the Cyrillic form of a name with the customary Wade‐Giles transcription. The average cataloguer, the first to meet the problem, has two obvious lines of action, and neither is satisfactory. He can save up the names until he has a chance to consult an expert in Chinese. Apart altogether from the delay, the expert, confronted with a few isolated names, might simply reply that he could do nothing without the Chinese characters, and it is only rarely that Soviet books supply them. Alternatively, he can transliterate the Cyrillic letters according to the system in use in his library and leave the matter there for fear of making bad worse. As long as the writers are not well known, he may feel only faintly uneasy; but the appearance of Chzhou Ėn‐lai (or Čžou En‐laj) upsets his equanimity. Obviously this must be entered under Chou; and we must have Mao Tse‐tung and not Mao Tsze‐dun, Ch'en Po‐ta and not Chėn' Bo‐da. But what happens when we have another . . . We can hardly write Ch'en unless we know how to represent the remaining elements in the name; yet we are loth to write Ch'en in one name and Chėn' in another.

The evolution of technology has become the mainstream of the current technological innovation era. Technological change is organized in its unique pattern and a new approach that takes place in a systematic and selective manner. Such change is generally molded with the amalgamation of various factors, namely, economic, social or scientific and technological. This paper aims to focus on identifying technological trajectories in a technological ecosystem with the case of m-payment technology.

This study constructs a patent citation network for mobile payment service technology through patent citation data and identifies the main evolution process using the main path analysis of the network. The scope of this study focuses on key innovation using social network analysis and patent citation network, validated using the case of a mobile payment system and analyzing its technological trajectory.

Analyzing technology evolution provides a greater insight of the overall technology landscape to the researcher and practitioner. Analyzing the m-payment technology landscape gives three main categories of m-payment systems: the mobile financial transaction system), the payee mobile device payment selection system and e-wallet services.

The novelty of this research lies in the process of identifying technological evolution using social network and patent citation network analysis. The case of m-payment technology ecosystem is studied quantitatively which is not explored by previous researchers. This research provides a way to develop the main path technology of innovative products or services to identify technology evolution using the case of m-payment landscape.

This paper seeks to propose and empirically validate a conceptual model on the antecedents of review helpfulness comprising three constructs, namely, valence dissimilarity, lexical dissimilarity and review order.

A panel dataset of customer reviews was collected from Amazon. Using deep learning and text processing techniques, 650,995 reviews on 13,612 products from 570,870 reviewers were analyzed. Using negative binomial regression, four hypotheses were tested.

The results indicate that new reviews with high valence dissimilarity and lexical dissimilarity compared to existing reviews are less helpful. However, over the sequence of reviews, the negative effect of review dissimilarity on review helpfulness can be moderated. This moderation differs for valence and lexical dissimilarity.

This study explains review dissimilarity in the context of online review helpfulness. It draws on the elaboration likelihood model and explains how the impacts of peripheral and central cues are moderated over the sequence of reviews.

The findings of this study provide benefits to online retailers planning to implement online reviews to improve user experience.

This paper highlights the importance of review dissimilarity in identifying user perception of online review helpfulness and understanding the dynamics of this perception over the sequence of reviews, which can lead to improved marketing strategies.

The purpose of this paper is to explore the trust antecedents and the effect of trust and transaction cost on passengers' e-loyalty in the context of mobile commerce enabled ride-sharing.

A mixed-methods research is adopted to investigate the phenomena of interest. The qualitative study was used to identify the context-specific trust antecedents. The quantitative study investigated the effects of trust and transaction cost on e-loyalty by combining the results of qualitative study.

Three important context-specific trust antecedents were identified in qualitative study, namely online rating score, service quality and driving skills. The quantitative study indicates that driving skills, explicit cost and implicit cost are positively associated with trust. Trust and implicit cost have direct and positive effects on e-loyalty.

This study contributes to understanding passengers' trust towards drivers in the context of mobile commerce enabled ride-sharing and the effect of trust on e-loyalty by including the transaction cost.

Management to enhance passengers' e-loyalty to ride-sharing might involve the measures to promote trust relationship.

Limited research has explored trust relationship for enhancing e-loyalty in the context of ride-sharing. The current study provides a novel contribution through an exploration of trust antecedents and the effects of transaction cost and trust on e-loyalty. The study has thrown light on the use of mixed-methods design in the research of user behavior in sharing economy.

The purpose of this paper is to examine the relationship between headteachers and teachers and its effects on the role of trust in Malaysian high-performing schools through the dyadic relationship theoretical approach.

Using a survey questionnaire, a total of 199 teachers from five high-performing schools were selected as respondents for data collection. Before proceeding with inferential statistical analysis, teachers were separated into the “in-group” and “out-group”.

The findings revealed that the teachers from both the groups perceived that their facets of trust are strongly associated with the type of relationship they have with their school leaders. The results also demonstrate that the quality of dyadic relationships between headteachers and teachers moderately influences teachers’ trust.

The findings suggest that the headteachers should always build good relationships with the teachers to gain teachers’ trust for sustaining school effectiveness. The findings encourage the Ministry of Education, particularly the Teacher Recruitment Division, to require all teachers and headteachers to deepen their knowledge on leader-member exchange (LMX) role-development processes.

The results are of great importance since limited empirical studies have examined LMX role-development processes with reference to teachers and headteachers in the context of Malaysian higher performing schools.

The purpose of this study is to explore the effect of reviewer qualification and credibility (RQC) and hotel classification involving online hotel reviews (OHRs). The study examines the effects of the reviewer level as a proxy of RQC on review helpfulness and reviewing behavior (review rating, review length). The study also included hotel classification as a moderating variable.

Data from 1,968 reviews were collected from TripAdvisor.com using a web data-harvesting technique. Hypothesized relations in the model were tested with t-test and MANOVA analysis.

The empirical results show that the effect of reviewer level on review helpfulness is not significant. In addition, a high-level reviewer tends to leave a lower rating and a lengthier review than a low-level reviewer. Regarding the moderating effects, for the high-level reviewer, three-star independent hotels have a greater effect on review helpfulness.

The study has several useful implications for researchers, hotel industry when managing OHR and disseminating information to their potential consumers.

The findings help online review website organizers manage the operation of RQC and hotel classification in a proper manner. Marketing managers, especially those of three-star independent hotels, can effectively utilize review management to the desired effect.

Unlike previous studies, this study explores the effect of RQC on review helpfulness and reviewing behaviors across the hotel classification. In addition, this study contributes to the hotel industry developing more effective online reviews from the reviewer level and diverse hotel types (three-star independent, four-star chain, five-star luxury hotels).

Consumers’ evaluation of online review helpfulness has been widely examined. The extant literature suggests that the attributes of review content (e.g. review length and extremity) influence review helpfulness. However, review length cannot fully reflect the richness of the review content. Anchoring on information diagnosticity and extremity bias, this study aims to explore the effect of review comprehensiveness on its helpfulness.

Field observations were obtained from 11,812 online restaurant reviews on a popular restaurant review platform. A controlled experiment was conducted to further delineate the effect of review comprehensiveness.

Review comprehensiveness moderates the effects of review length and an extremely negative review on helpfulness. It also confirms that for reviews of the same length, one covering more aspects is perceived by consumers as more helpful.

Different aspects of information in a review can efficiently assist decision-making. The results suggest that review platforms can better design their interface by providing separate areas for different product aspects. The platform can then receive more comprehensive and helpful reviews and increase the diagnosticity of these.

The study enriches the literature by introducing review comprehensiveness and examining the joint effects of review length and comprehensiveness on helpfulness. It also contributes to the literature by indicating how to reduce the effect of review extremity.

Facial recognition payment is an emerging mobile payment method that uses human biometrics for personal identification. The purpose of this study is to examine how users' salient beliefs regarding the technology–organization–environment–individual (TOE–I) dimensions affect their attitudes and how attitudes subsequently influence the intention to use facial recognition payment in offline contactless services.

This study comprehensively investigates customers' decision-making psychological mechanism of using facial recognition payment by integrating the belief–attitude–intention (B–A–I) model and the extended TOE–I framework. Data from 420 valid samples were collected through an online survey and analyzed using partial least squares structural equation modeling.

Research results indicate that convenience and perceived herd exert positive effects on trust and satisfaction. Meanwhile, familiarity has a significantly positive effect only on trust but not on satisfaction. In contrast, perceived privacy risk exhibits a negative effect on both trust and satisfaction. Trust and satisfaction positively influence the intention to use facial recognition payment. Unexpectedly, self-awareness negatively moderates the effect of satisfaction on intention to use, but its effect on the relationship between trust and intention to use is non-significant.

To the best of the authors’ knowledge, this study is one of the early studies that explicate customers' psychological mechanism in facial recognition payment in offline contactless services through an understanding of the B–A–I causal linkages with the identification of users' perceptions from a comprehensive context-specific perspective. This study enriches the literature on facial recognition payment and explores the moderating role of self-awareness in the relationship between users' attitudes and intention to use, thereby revealing a complex psychological process in the usage of offline facial recognition payment systems.